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Record W4206057660 · doi:10.1111/icad.12564

Notes from rusty patched bumble bee ( <i>Bombus affinis</i> Cresson) nest observations

2022· article· en· W4206057660 on OpenAlexaboutno aff
Michelle Boone, Elaine Evans, Amy Wolf, Halley Minser, Jay C. Watson, Tamara Smith

Bibliographic record

VenueInsect Conservation and Diversity · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
FundersNational Science Foundation of Sri Lanka
KeywordsNest (protein structural motif)EcologyBiologyEndangered speciesHabitatOverwinteringMating

Abstract

fetched live from OpenAlex

Abstract The rusty patched bumble bee, Bombus affinis , is federally endangered in the United States and Canada. Information on natural history is crucial to conservation planning, but little is known about B. affinis nesting biology, habitat, overwintering, and mating behaviours. We report observations on three B. affinis nests in Minnesota and Wisconsin found in 2020. Previous to this report, there were only four published descriptions of B. affinis nests, with the last nest recorded nearly 30 years ago. Here, we share findings on nesting habitat, nest size, mating behaviours, and nest parasites. The nests were located in between the foundation and a layer of insulation in an urban residence, in an urban backyard near a house foundation, and in a degraded semi‐wooded, riparian natural area. Colony size estimates ranged from 251 to 1341 bees. We observed males chasing gynes near a nest entrance and one mating event approximately 5 m from the nest. We documented the chalcid wasp, Melittobia acasta , as a new host association. These observations increased the known colony size range, documented a new host association, and indicate the potential importance of urban and degraded habitats for recovery of the endangered rusty patched bumble bee.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.132
GPT teacher head0.198
Teacher spread0.066 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2022
Admission routes1
Has abstractyes

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